Learning Disabilities Psychologist Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Learning Intern on the Coinbase Learning team within the People organization, you'll help design, deliver, and improve the programs that unlock growth for every Coinbase employee. You'll build AI-powered learning content, coordinate high-impact programs, and use data to drive measurable improvements across our learning portfolio, working at the intersection of instructional design and emerging AI capabilities. What you'll do: Build and iterate learning content (presentations, guides, videos, Confluence pages) using AI tools to accelerate development cycles and improve content quality Coordinate and produce instructor-led learning sessions and L&D offsites from scheduling through day-of execution, managing logistics and audience engagement Prototype AI-assisted learning experiences such as adaptive practice exercises, AI-generated scenario simulations, or on-demand skill-building resources Analyze program evaluation and engagement data using AI-assisted methods to surface insights and recommend improvements to learning experiences Maintain accurate program documentation and communication channels, ensuring employees can easily discover and access learning opportunities Required Skills and Experience: Currently pursuing a degree or certificate in adult education, HR, organizational psychology, instructional desi

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 20 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. 2+ years in technical training in AI upskilling or similar instructor roles. Broad AI experience across Claude, CoWork, CoPilot, ChatGPT Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Professional services revenue (with a success based component of your salary tied to this) Why Da

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About The Role Replit is where millions of people learn to build software - and our documentation and learning content are where they get going or give up. We're taking ownership of that experience, and we're looking for a Learning Experience Creator who can make it worthy of the product: someone who turns product knowledge into experiences people actually use - clear written docs, guided learning, short video, interactive experiences - findable at the moment of need, accurate every time, and genuinely enjoyable. You're a learning-experience creator first. You understand how people actually learn a product - what they're trying to accomplish, where they get stuck, what format serves each moment - and you move fluidly between writing a crisp help article, designing a hands-on walkthrough, and producing a short video. Underneath it all, you're a storyteller: you know how to earn attention in the first few seconds, hold it against real-world attention spans, and make ideas stick - and sometimes make something people can't help but share. You're also a builder: unafraid to try new formats and experiment, you read the data and listen to customers, and you continually improve and evolve with speed as our product evolves. You'll turn complex things into simple, useful experiences, and you'll own how well they land. The Mission : help every user - external customers and internal teams - self-serve to reach their creative and business goals, with content so good, so current, and so findable that they don't need to open a ticket. Success looks like real ticket deflection, faster activation, and high CSAT. What You'll Own New documentation and learning content. You'll populate our documentation and learning surfaces with new, acc

Job Title: Learning & Training About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. SKILLS: Strong experience of audience management within Learning Management Systems. Experience using HR systems such as Workday, SAP SuccessFactors, Oracle HCM or equivalent. Experience managing large-scale learning deployments across complex organisations.

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Mission Join Qonto as a Learning & Development Manager to maintain and elevate our learning programmes during a key period for the People team, ensuring Qontoers continue to access high-quality self-service content, group coaching, and tailored learning support. You will work closely with Olivia (Knowledge & Learning Lead) and partner with managers and internal experts across Qonto to deliver impactful learning experiences, quickly and with a high bar. ➡️ What you’ll do Build learning content in Sana that reflects Qonto's culture, addresses real pain points observed on the ground, and anticipates future capability needs. Facilitate workshops and learning sessions, including Manager Academy modules, adapting formats to what Qontoers actually need. Coach Qon

Learning & Development Partner – Data Engineering Business Experience: 10–13 Years Role Purpose The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness. Key Responsibilities Business Partnership & Strategy Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs. Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies. Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends. Act as a trusted advisor to leaders on talent development and skill readiness. Technical and Capability Development Design and curate learning interventions for Data Engineering roles. Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs. Ensure learning pathways are role-based, progressive, and aligned to career growth. Leverage AI tools for content design and development, and learning operations. Leadership and Behavioral Development Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function. Embed skills such as communication, stakeholder management, execution excellence, and people leadership. Learning Governance and Effectiveness Define success metrics to measure learning effectiveness and business impact. Review learning outcomes through feedback from managers, mentors, and participants. Continuously refine programs based on data, feedback, and evolving business needs. Leverage Learning Management Systems (LMS) to track

CPI Security , based in Charlotte, North Carolina, is looking for a high-impact Learning & Development Manager to lead enterprise training, onboarding strategy, employee enablement, leadership development, and key talent management processes across the organization. This role partners closely with business line leaders, corporate teams, field leaders, and trainers across the company to ensure employees are equipped, aligned, and developed to perform at their best. The Learning & Development Manager will also lead CPI’s recurring talent review process, support leadership coaching initiatives, and drive consistent training operations across business lines. This is an excellent opportunity for a strategic, hands-on learning leader who can operate with independence, influence senior stakeholders, coach leaders, and bring strong structure and operational rigor to a fast-moving environment. What You'll Do: Enterprise Learning Strategy & Business Line Partnership Own and evolve CPI’s enterprise learning strategy across corporate and field business lines. Partner with divisional leadership and trainer teams to identify training needs, prioritize initiatives, and deliver measurable learning outcomes. Build strong operating rhythms with business line partners, including regular stakeholder check-ins and participation in key leadership meetings. Align learning programs with business priorities, employee readiness needs, and organizational goals. Product, Feature & System Release Enablement Lead the training enablement workstream for product, technology, and IT releases. Partner cross-functionally with Product, IT, Marketing, Operations, and field leadership to coordinate launch readiness. Create, curate, and distribute launch collateral, including job aids, announcements, training materials, and communication plans. Ensure trainers and front-line teams receive release materials in advance, with clear expectations, sequencing, and rollout guidanc

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join Qonto as a Learning & Development Manager to maintain and elevate our learning programmes during a key period for the People team, ensuring Qontoers continue to access high-quality self-service content, group coaching, and tailored learning support. You will work closely with Olivia (Knowledge & Learning Lead) and partner with managers and internal experts across Qonto to deliver impactful learning experiences, quickly and with a high bar. ➡️ What you’ll do Build learning content in Sana that reflects Qonto's culture, addresses real pain points observed on the ground, and anticipates future capability needs. Facilitate workshops and learning sessions, including Manager Academy modules, adapting formats to what Qontoers actually need. Coach Qontoers usi

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. Department: Human Resources / Organizational Development Reports To: Director of Human Resources FLSA Status: Exempt Job Type: Full-Time Position Summary: We are seeking a dynamic and results-driven Learning & Development / Training Manager to lead the design, implementation, and continuous improvement of our employee and leadership development programs. This is an on-site role based in Lancaster, CA, with occasional travel to our Pasadena, CA location. Remote work is not available for this position. This role will manage multiple training initiatives across the organization with a strong focus on production employees, leadership pipeline development, and organizational capability building. The ideal candidate brings expertise in adult learning in a manufacturing environment, instructional design, and training program evaluation—including ROI measurement—and has experience working in a manufacturing or industrial environment. --- Key Responsibilities: · Develop and Implement Training Strategy: Create and execute a comprehensive training strategy aligned with business goals, including technical, compliance, and leadership training. · Program Management: Oversee multiple concurrent training programs, prioritizing according to business needs and ensuring timely and effective delivery. · Employee & Leadership Development: Design and facilitate programs that support skill development across all levels—from front-line manufacturing employees to supervisors and emerging leaders. · Train-the-Trainer for Manufacturing: Design and deliver structured Train-the-Trainer programs specifically for production environments to ensure consistent and effective knowledge transfer. · Instructional Design & Adult Learning: Utili

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the Role You'll be the operational backbone of DataCamp's professional services programs. Think multi-week, multi-cohort engagements involving live classes, masterclasses, hackathons, and Data+AI upskilling tracks — delivered to large organizations going through data and AI transformation. This is a hands-on, client-facing role. You won't be teaching — you'll be making sure everything around the teaching runs like clockwork. You'll be the main point of contact for clients during delivery, coordinating instructors, internal teams, and stakeholders to ensure every program launches on time, runs smoothly, and improves with each iteration. If you're the kind of person who gets energy from keeping complex projects on track, building trust with enterprise clients, and quietly making everyone around you more effective — this is your role. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities: P

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! What you'll do Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm Implement and scale data pipelines, new features, and algorithms that are essential to our production models Collaborate with the engineering, credit, and product teams to define requirements for new products What we look for 2+ years of experience as a machine learning engineer or PhD in a relevant field Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus Strong engineering skills in Python and data manipulation skills like SQL Experience using large scale distributed systems like Spark or Ray Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow Experience developing machine learning models at scale from inception to business impact Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams The ability to

At NVIDIA, we’re building GeForce G-Assist — an on-device AI assistant that combines Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities to deliver responsive, context-aware assistance inside the GeForce ecosystem. We work closely across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. What you'll be doing: Together, we focus on how models behave in production, not just on benchmarks. Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability. Identify and mitigate conversation and context contamination, including state drift, prompt leakage, and retrieval cross-talk. Work with SLM and VLM architectures to support text and multimodal interactions. Collaborate on hybrid architectures that combine local SLMs with cloud-based models. We value engineers who enjoy thinking across the full system—from model behavior to runtime performance. Optimize local inference using llama.cpp, including quantization, memory usage, and performance tuning. Read, write, and optimize C/C++ code in performance-critical paths. Design and integrate retrieval-augmented generation (RAG) systems that ground responses in system and user context. Support agentic AI workflows, enabling planning, tool use, and multi-step execution. What we need to see: 5+ years of validated experience in system software or a related field, with an M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). We’re looking for teammates who enjoy solving real problems, learning as they go, and collaborating in a tight-knit environment. Strong ability to read and write C/C++ code in systems-level or performance-sensitive environments, along with proficiency in Python. Hands-on experience w